Model

How it is used

You build, train, fit, evaluate and deploy a model; a model 'predicts' or 'scores' something. The activity is 'modelling' in British and 'modeling' in American spelling. In business the word also covers spreadsheet models, such as a financial model.

Example sentences

1. The churn model flags customers who are likely to cancel next month.

2. We need to retrain the model because customer behaviour changed after the price increase.

Common collocations

• build a model
• train a model
• fit a model
• predictive model
• model performance

Related terms

• featureIn modelling, one of the input variables a model uses to make predictions, such as a customer's age, number of purchases or days since last login.
• training dataThe examples, with known inputs and usually known answers, that a model learns from; they are kept separate from the data used to test the model.
• overfittingA problem in which a model learns the training data too closely, including its noise, so it performs well on that data but poorly on new data.
• regressionA family of methods that model how a numeric outcome, such as sales or price, depends on one or more input variables, used to estimate effects or make predictions.
• classificationA type of modelling task in which the model predicts which category something belongs to, such as spam or not spam, or which product a review is about.

This word in other fields

The same English word can have a different meaning in another field:

• model · Software Engineering
• model · Artificial Intelligence & Machine Learning
• model · Architecture

More terms: Modelling and Machine Learning

• accuracy
• precision
• recall
• cross-validation
• baseline
• feature engineering
• target variable
• test set
• clustering